El propósito de la investigación fue determinar los grados de depresión, ansiedad y estrés en estudiantes de los primeros ciclos de estudio en su paso por la Universidad Agraria la Molina-Perú. El tamaño de muestra fue de 462 universitarios que iniciaban el semestre académico en el mes de julio después de un pare de 5 meses, esto para la adaptación del dictado de las clases a una modalidad virtual, lo cual creemos firmemente generó síntomas emocionales en los estudiantes. Concluyendo que los niveles de depresión, ansiedad y estrés de los jóvenes universitarios en situación crítica de pandemia por el COVID-19 es de 66%, 64,1% y 61,9% respectivamente. Además, existe asociación significativa entre la ansiedad y el sexo del estudiante; finalmente se afirmó que la situación de la pandemia afectó a los jóvenes universitarios en sus emociones y en mayor medida a las estudiantes del sexo femenino, causando estragos en su salud mental. Asimismo se logró confirmar con la alta consistencia interna de la escala DASS-21.

En el 2020 se suscitó la pandemia por COVID-19, la cual trajo consigo un cambio en las rutinas de las personas hacia la virtualidad. La educación no ha sido ajena a estos cambios, los cuales han venido acompañados de un deterioro en la salud mental, manifestándose a través de la depresión, ansiedad, estrés, entre otros. Esta investigación buscó caracterizar a los estudiantes de cursos básicos de estadística en su primer ciclo de clases virtuales, así como establecer qué variables influyeron en su rendimiento académico. Se encontraron 3 conglomerados de estudiantes, diferenciados principalmente por la edad, historial académico y puntajes de depresión, ansiedad y estrés. Por otro lado, los atributos que mayor ganancia de información presentan al predecir el rendimiento académico fueron el promedio ponderado semestral del ciclo anterior, la asignatura en la que se matriculó, la cantidad de créditos matriculados, la edad, el estrés y la ansiedad.

Objective: To examine differences in distributions of sustained attention (SA), impulsivity control index (ICI), errors of commission (Ec) and errors of omission (Eo) with respect to demographic variables (sex and school grade). To analyze differences at the secondary level in the regions of Peru. To relate age and school grade with AS and Eo. Theoretical framework: The study is centered on the theoretical model of Posner and Petersen (1990); considering a neuropsychological approach to development and a visual search paradigm. Method: It belongs to a quantitative approach, with a descriptive correlational scope and cross-sectional non-experimental design. The sampling was probabilistic by clusters, 6,564 students at the primary level and 4305 at the secondary level. Results and Discussion: In AS, ICI, Ec and Eo there are statistical differences according to sex and school grade. On the other hand, there were associations between AS and Eo according to age and school grade. Finally, statistical differences were obtained in AS, ICI and Eo according to the three regions of Peru. Implications of the research: The study provides new scientific evidence of attention in Peruvian children and adolescents. Originality/value: The study is based on the typification of the instrument in the Hogrefe TEA editions publishing house (Spain). Likewise, the results presented are unpublished and contribute to provide new information for psychopedagogues, psychologists and educators.

Risk perception regarding air pollution in Andean urban environments poses significant challenges to psychological well-being, highlighting the emergence of climate anxiety. Despite this, evidence on how cognitive appraisals of environmental and health risks predict this distress in vulnerable communities remains scarce. This study analyzed the explanatory capacity of environmental risk perceptions and perceived health effects on the variance of climate anxiety among residents of hillside communities in an Andean region of Peru. Using a quantitative, cross-sectional, and analytical design, 205 participants selected by quota sampling were assessed. Validated scales were applied to measure risk perception (individual and social), perceived health effects, climate anxiety, and sociodemographic factors. Hierarchical linear regression analyses revealed that individual risk perception, perceived symptoms and discomfort, as well as health concerns and the adoption of preventive measures, exhibited positive and statistically significant associations with climate anxiety, demonstrating greater explanatory power than sociodemographic variables. The final model explained 34.3% of the variance in climate anxiety (R² = 0.343; adjusted R² = 0.316), representing a moderate explanatory capacity. Furthermore, significant differences were identified based on gender, educational level, and type of residence (native vs. migrant). It is concluded that climate anxiety in vulnerable urban communities is not an abstract concern, but rather an internalized emotional response. This distress is intensified by immediate somatic experience, the proximal interpretation of atmospheric threats, and the subjective experience of risk at the individual level.